*Apologies for any potential cross-posting!*
Call for papers and abstracts!
The Seventh Image Schema Day ISD7@KR2023
Due to the busy times before the start of the summer, we have chosen to
extend the submission deadline for both full papers and abstracts
until the *12th
of June*. We kindly ask that you register the title and abstract in
Easychair by the original deadline of June 2nd, so we can prepare for the
— *Submission link:* https://easychair.org/conferences/?conf=isd7 Last
year the sixth edition of the workshop was a great success and we are
excited for this seventh edition which is joining the workshop program at The
20th International Conference on Principles of Knowledge Representation and
Reasoning (KR2023) <https://kr.org/KR2023/> in Rhodes, Greece.
As in previous years, ISD7 is a networking event that invites researchers
on image schemas, conceptual primitives and spatiotemporal reasoning from a
broad range of scientific disciplines to present their research and discuss
ideas for future projects. Unlike many other workshops focused on different
topics in one discipline or using one methodology, the Image Schema Day
invites researchers from all disciplines and methodologies but focuses on
one main topic.
The workshop offers a friendly environment for researchers of all stages
who are interested in presenting and discussing work on the formal and
analytical treatment of conceptual patterns, embodied cognition and the
interdisciplinary exploration of human thought!
The workshop accepts three kinds of submissions:
– Abstracts for presentation (2 pages) (NOTE: these are not included in
– Extended abstracts (5 pages) of work in progress or summaries of
recently published articles.
– Research papers (5-10 pages) discussing novel research not published
(or under review) at another venue.
Topics of interest with (the broadest of interpretation of) an
image-schematic focus include:
– analysis of conceptual metaphors
– formalisation of affordances and force dynamics
– spatiotemporal reasoning
– commonsense reasoning
– conceptual modelling
– use cases of embodied cognition
– formal approaches to analogical reasoning
– formal concept analysis
– applications in cognitive robotics
– image-schematic interface design
– art and literature analysis
All submissions will be peer-reviewed and accepted contributions will be
included in the ISD7 proceedings and presented at the workshop! Formatting
and submission instructions can be found on the event website. Important
– Title registration deadline: June 2nd (soft deadline)
– Submission deadline: June 12th (hard deadline)
– Notification of acceptance: July 1st
– Workshop dates: September 2-4
Please share this invitation with colleagues and students that might be
interested in the workshop and consider joining us in September!
the deadline for the 2nd TRR Conference on “Measuring Understanding” has been extended.
This year‘s conference of the collaborative research center TRR 318 “Constructing Explainability” focuses on measuring understanding.
We invite all researchers working on topics concerning Explainable Artificial Intelligence and Understanding in Explainable Artifical Intelligence to submit their work as an abstract until June 5, 2023 (extended Deadline) to <email@example.com <mailto:firstname.lastname@example.org>>.
The conference will be held in Paderborn, Germany from the 06.11.2023–07.11.2023 and there will be no conference fees. Attached you can find the Call for Abstracts with all important information concerning your submission. For more information, please visit the conference website:
Understanding the Mind: 3rd RUB-UFMG Workshop in Philosophy of Mind and of
In the 3rd RUB-UFMG Workshop in Philosophy of Mind and of Cognitive Science,
philosophers from the Ruhr-Universität Bochum and the Universidade Federal
de Minas Gerais will discuss topics that include mind-body dualism,
predictive processing and consciousness, the interface between perception
and action, and conceptualism about perceptual content.
Each talk lasts for 30′ followed by a 10′ commentary and an open Q&A of 20′.
Participation is open to everyone, but please, register in advance by
sending an e-mail to email@example.com.
* 2 May 2023
14:30 15:30 Prof. Bruno Souza (UFMG) – Challenging Dualism and
Commentator: Wanja Wiese (RUB)
15:30 16:30 Gabriele Ferretti (RUB) A Distinction Concerning
Vision-for-Action and Affordance Perception
Commentator: Felipe Nogueira de Carvalho (UFMG)
* 3 May 2023
14:30 15:30 Prof. Tobias Schlicht (RUB) Predictive Processing and
Commentator: Marco Aurélio Sousa Alves
15:30 16:30 Daniel Debarry (UFMG) Conceptual Capacities and the Unity of
Commentator: Alfredo Vernazzani (RUB)
Check out our RUB webpage of the event!
All times are CET!
The workshop will run on Zoom.
Here is the Zoom Link (valid for both days of the event):
CFR: Workshop Investigating consciousness in animals and artificial
systems: A comparative perspective (ICA 2023)
Organized by Albert Newen and Wanja Wiese
01.-02. June 2023, Bochum, Germany
For further and current information, click here
Albert Newen and Wanja Wiese (RUB, Institute of Philosophy II)
Ruhr-Universität Bochum, Mercatorraum GA04/187 or online via
Thursday, 1st of June 2023
09:30-10:40 Michael Tye: Can a robot feel pain?
10:40-11:25 Robert Matthews: Knowing what its like to be an alien
form of life
11:45-12:30 Albert Newen: The interaction of theory-heavy and
theory-light approaches to animal consciousness: The alarm theory of
consciousness and cognitive profiles of animal consciousness
14:00-15:10 Eva Jablonka: The evolution of animal consciousness: The
15:10-15:55 Leonard Dung: Are tests of animal consciousness
applicable to artificial systems?
16:25-17:10 Angelica Kaufmann: Individual sentience profiles and
why comparative neuroscience research needs them
17:10-18:20 Cameron Buckner: tba
Friday, 2nd of June 2023
09:15-10:25 Henry Shevlin: Mentalising beings: Human
anthropomorphism and non-human consciousness
10:25-11:10 Wanja Wiese: Understanding weak and strong artificial
11:30-12:40 David Gamez: Seeing is deceiving: Why consciousness
cannot be inferred from behaviour in animals and artificial systems
14:15-15.00 Katharina Dornenzweig: Sentience in AI and biology: A
comparative study of recurrent processing as a way forward
14:00-15:45 Simon Brown: Animal points of view in spatiotemporal
structures of experience
16:05-17:15 Elisabeth Hildt: Artificial consciousness: Conceptual
analysis and ethical implications
Please send an email to <mailto:firstname.lastname@example.org>
email@example.com by May 20th, 2023.
this year’s conference of the collaborative research center TRR 318 “Constructing Explainability” focuses on measuring understanding.
We invite all researchers working on topics concerning Explainable Artificial Intelligence and Understanding in Explainable Artifical Intelligence to submit their work as an abstract until 15.05.2023 to <firstname.lastname@example.org>. The conference will be held in Paderborn from the 06.–07.11.2023 and there will be no conference fees.
Attached, you can find the Call for Abstracts with all important information concerning your submission. For more information, please visit the conference website:
EXTENDED DEADLINE: CfP for the Sixth Bochum Early Career Researchers
Workshop in Philosophy of Mind and Cognitive Science
Date: July 24, 2023 – July 26, 2023
Location: Ruhr University Bochum (RUB), Germany, and online via Zoom
Organization: Alexander Hölken & Caroline Stankozi (RUB)
Keynote speakers: Miguel Segundo Ortín (Murcia, ES), Arantza Barrios
(London, UK), Demian Battaglia (Strasbourg, FR)
NEW submission deadline: April 30, 2023
This workshop offers early career researchers in philosophy of mind and
cognitive science an opportunity for in-depth discussion of their work.
Each talk will get up to 30 minutes (plus 20 minutes for discussion).
Each accepted speaker will be paired with another, whose paper they
receive in advance to provide a brief (5-10 minutes) commentary.
We invite papers in philosophy of mind and cognitive science on the
topic of the role of the brain in learning. Related topics that we
consider relevant include, but are not limited to:
* Learning in artificial systems
* Learning in non-brained organisms
* Animal cognition & comparative psychology
* Basal cognition
* The role of language and metaphors in cognition
* Epistemology of perception
* Action selection and decision making
* Habituation, skill development, and motor control
* Philosophy of psychiatry and psychopathology
Eligibility: Submissions are invited from PhD students or researchers
who received their PhD less than 2 years before the submission deadline.
Submission instructions: Abstracts ready for blind review (1,000 words)
with a separate cover sheet (listing name, contact information,
institutional affiliation, and date of (expected) PhD conferral) should
be submitted to email@example.com by April 30, 2023.
Notifications of acceptance will be sent in May. Accepted speakers will
be asked to send their full papers (of no more than 10,000 words) by the
end of June. As we aim for an equal gender balance and diversity, we
welcome submissions from members of minorities and underprivileged
groups. Attending the workshop is free of charge.
For any queries and clarifications please do not hesitate to contact us
The EPIA Conference on Artificial Intelligence (AI) is a well-established
European conference in the field of AI, hosted by the Portuguese
Association for Artificial Intelligence (APPIA)
The 22nd edition of the EPIA conference will take place at Faial Island in
the Azores Archipelago, from September 5th to September 8th, 2023. The
purpose of the EPIA conference is to promote research in all areas of AI,
covering both theoretical/foundational issues and applications, and the
scientific exchange among researchers, engineers and practitioners in
related disciplines. Together with the international Steering Committee,
the Program Chairs have selected a number of different thematic tracks to
be featured at the conference, covering a wide spectrum of AI topics. One
of the accepted tracks is devoted to AI, Generation and Creativity.
The Thematic Track on AI, Generation and Creativity intends to address
practical and theoretical works related to the use of AI for creative
purposes. The intersection between generation and creativity is fertile
ground, encompassing topics related to artificial creative systems,
generative approaches, as well as human-computer co-creation.
We welcome papers describing original research in the following topics (but
not limited to):
– Artificial creative systems in domains such as visual arts,
architecture, design, sound art, music, poetry, narrative, games, and
– Creative and Generative AI
– Computational models of creativity
– Evaluation of artificial creative systems
– Human-computer collaboration and co-creation
– Social and ethical aspects of computational creativity.
**** Submission and Presentation instructions ****
All papers will be peer-reviewed. Accepted papers will be included in the
conference proceedings (Springer LNCS) and will be presented at the
Please check EPIA 2023 website for more details on submission formats and
– Paper submission deadline April 28, 2023
– Notification of paper acceptance May 26, 2023
– Camera-ready papers deadline June 15, 2023
– Conference dates September 5-8, 2023
**** Organising Committee ****
– Pedro Martins, University of Coimbra, Portugal
– João Miguel Cunha, University of Coimbra, Portugal
– Helena Sofia Pinto, IST – University of Lisbon, Portugal
– María Navarro, Univesidad de Salamanca, Spain
– Juan Romero, University of A Coruña, Spain
– Maria Hedblom, Jönköping University, Sweden
Below you can find the last call for papers for the 2nd Workshop on
Enhancing Generative Machine Learning with Evolutionary Computation.
Feel free to distribute, and thank you for your time.
CALL FOR PAPERS
2nd Workshop on Enhancing Generative Machine Learning with Evolutionary
Genetic and Evolutionary Computation Conference (GECCO’23)
Lisbon, Portugal, July 15 to 19, 2023
Overview and Scope
Generative Machine Learning has become a key field in machine learning and
deep learning. In recent years, this field of research has proposed many
deep generative models (DGMs) that range from a broad family of methods
such as generative adversarial networks (GANs), variational autoencoders
(VAEs), autoregressive (AR) models and stable diffusion models (SD). These
models combine advanced deep neural networks with classical density
estimation (either explicit or implicit) for mainly generating synthetic
data samples. Although these methods have achieved state-of-the-art results
in the generation of synthetic data of different types, such as images,
speech, text, molecules, video, etc., Deep generative models are still
difficult to train.
There are still open problems, such as the vanishing gradient and mode
collapse in DGMs, which limit their performance. Although there are
strategies to minimize the effect of those problems, they remain
fundamentally unsolved. In recent years, evolutionary computation (EC) and
related bio-inspired techniques (e.g. particle swarm optimization) and in
the form of Evolutionary Machine Learning approaches have been successfully
applied to mitigate the problems that arise when training DGMs, leveraging
the quality of the results to impressive levels. Among other approaches,
these new solutions include GAN, VAE, AR, and SD training methods or fine
tuning optimization based on evolutionary and coevolutionary algorithms,
the combination of deep neuroevolution with training approaches, and the
evolutionary exploration of latent space.
This workshop aims to act as a medium for debate, exchange of knowledge and
experience, and encourage collaboration for researchers focused on DGMs and
the EC community. Bringing these two communities together will be essential
for making significant advances in this research area. Thus, this workshop
provides a critical forum for disseminating the experience on the topic of
enhancing generative modelling with EC, presenting new and ongoing research
in the field, and to attract new interest from our community.
Topics of Interest
Particular topics of interest are (not exclusively):
· Evolutionary and co-evolutionary algorithms to train deep generative
· EC-based optimization of hyper-parameters for deep generative models;
· Neuroevolution applied to train deep generative architectures
· Dynamic EC-based evolution of deep generative models training
· Evolutionary latent space exploration
· Real-world applications of EC-based deep generative models solutions
· Multi-criteria adversarial training of deep generative models
Computational Creativity (or CC) is a discipline with its roots in
Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology
and Philosophy that explores the potential for computers to be autonomous
creators in their own right. ICCC is an annual conference that welcomes
papers on different aspects of CC, on systems that exhibit varying degrees
of creative autonomy, on systems that act as creative partners for humans,
on frameworks that offer greater clarity or computational felicity for
thinking about machine (and human) creativity, on methodologies for
building or evaluating CC systems, on approaches to teaching CC in schools
and universities or to promoting societal uptake of CC as a field and as a
technology, and so on.
**** Important Dates ****
Submissions due: May 2nd, 2023
Acceptance notification: May 19th, 2023
Camera-ready copies due: May 31st, 2023
Conference: June 19-23, 2023
All deadlines given are 23:59 anywhere on Earth time.
**** Special topics ****
In addition to the topics listed in the subsequent section, this year we
encourage submissions in the following areas. The aim is to explore
overlaps between Computational Creativity and the following critical issues:
– Climate Change
– Diversity, Equity and Inclusion
**** Topics ****
Original research contributions are solicited in all areas related to
Computational Creativity research and practice, including, but not limited
– Application of Computational Creativity: Applications that address
creativity in specific domains such as music, language, narrative, poetry,
games, visual arts, graphic design, product design, architecture,
entertainment, education, mathematical invention, scientific discovery, and
– Human-Machine Creativity: Applications and frameworks that allow for
co-creativity between humans and machines, in which the machine acts as a
meaningful creative partner.
– Evaluation: Metrics, frameworks, formalisms and methodologies for the
evaluation of creativity in computational systems, and for the evaluation
of how systems are perceived in society.
– Computational Models and Paradigms: Computational models of social
aspects of creativity, including the relationship between individual and
social creativity, diffusion of ideas, collaboration and creativity,
formation of creative teams, and creativity in social settings.
Computational paradigms for understanding creativity, including heuristic
search, analogical and meta-level reasoning, and representation.
– Interdisciplinary perspectives: Cognitive and psychological computational
models of creativity, and their relation with existing cognitive
architectures and psychological accounts; Perspectives on computational
creativity which draw from philosophical and/or sociological studies in a
context of creative intelligent systems.
– Focus on data: Big data approaches to computational creativity; Resource
development and data gathering/knowledge curation for creative systems,
especially resources and data collections that are scalable, extensible and
freely available as open-source materials.
– Societal Impact: Ethical considerations in the design, deployment or
testing of CC systems, as well as studies that explore the societal impact
of CC systems.
– Novel experiences & factors:Innovation, improvisation, virtuosity and
related pursuits investigating the production of novel experiences and
artifacts within a CC context. Computational accounts of factors that
enhance creativity, including emotion, surprise (unexpectedness),
reflection, conflict, diversity, motivation, knowledge, intuition, reward
we want to inform you about the final CfP for AxAI’23 – Special Session on Actionable Explainable AI (AxAI) held at the Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2023)
When: August 29 – September 01, 2023
Where: University of Sannio in Benevento, Italy
Submission Deadline: 17th of April 2023 AoE (hard deadline, see also important dates below)
Invited Contributions: full research papers and short research papers. Extended versions of the accepted papers will be solicited for a special issue to be published on the Machine Learning and Knowledge Extraction (MAKE) journal.
Topics of interest include, but are not limited to:
– Approaches for context-aware explainability
– Concepts and methods for human-centered explainable artificial intelligence
– Experimental and empirical studies on ML systems that show the suitability of novel explanatory approaches in different application domains (e.g., environmental studies/agriculture/forestry, medicine, autonomous driving, etc.)
– Methods that allow for corrective feedback by means of a human-in-the-loop to improve explanatory approaches and ML models
– Methods to integrate human knowledge into automated decision-making in ML systems
– Novel data set benchmarks to validate ML systems from a user and application domain perspective
– Novel techniques for the evaluation of ML systems based on the aspect of fidelity and robustness of an explanation
– Human-centered user interfaces that integrate or compare various XAI methods to facilitate and improve the evaluation of ML systems
– XAI methods that support safer and more effective human/AI-decision making (e.g., action correction and choice of actions that are more beneficial in a given context)
Methods of Explainable Artificial Intelligence (XAI) are developed especially with the goal to make decisions of opaque machine-learned models (e.g., Deep Learning) transparent, interpretable and comprehensible. However, merely establishing transparency, interpretability, and comprehensibility is not enough to derive value from explanations. In addition, it is important to improve models by creating opportunities to act on and learn from explanations. This can be achieved through so-called actionable concepts, methods, measures, and metrics for explainable learning and reasoning (Gunning and Aha, 2019). An important aspect of actionable XAI is the incorporation of psychological insights into the design of explanations and interactive interfaces for the purpose of model understandability, validation, and correctability. Similarly, it is important to develop evaluation criteria that enable meaningful and generalizable comparability of explanations from a user and application perspective. The goal is to find the best possible explanatory approaches for the respective context of use. In this special session, we want to bring together interdisciplinary researchers who are working on exactly these aspects of Explainable Artificial Intelligence and who want to present and discuss new, groundbreaking research that goes beyond testing existing work in new application areas.
April 17, 2023 (AoE, hard deadline)
June 01, 2023
June 22, 2023 (AoE)
August 29 – September 01, 2023
Session and Track Chairs:
Bettina FINZEL, University of Bamberg, Germany
Anna SARANTI, Human-Centered AI, University of Life Sciences, Vienna, Austria
Program Committee 2023:
Tim Miller, The University of Melbourne, Australia
Fabrizio Silvestri, University of Rome, Italy
Christian Geißler, Technische Universität Berlin, Germany
Giovanna Nicora, University of Pavia, Italy
Lukas-Valentin Herm, Julius-Maximilians-Universität Würzburg, Germany
Kary Främling, Umeå University, Sweden
Andreas Hinterreiter, Johannes Kepler University Linz, Austria
Hadi Khorshidi, The University of Melbourne, Australia
Andrew Silva, Georgia Institute of Technology, USA
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